Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/2072
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dc.contributor.authorVerma, Ashwin-
dc.contributor.authorGupta, Richa (Advisor)-
dc.date.accessioned2026-09-02T06:03:22Z-
dc.date.available2026-09-02T06:03:22Z-
dc.date.issued2025-07-25-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/2072-
dc.description.abstractThis project builds upon the previous version of TacTile, which was developed in the prior semester using an EfficientNetV2-B0 and YOLO-based backbone. In the current version, we transitioned to using the MediaPipe Hand Landmark detector combined with a plain JSON file to store coordinates of the desired regions. To improve the robustness of the application, we have now trained a YOLOv8 model specifi- cally on cropped map regions. This enhancement ensures that the application functions reliably regardless of the phone’s height or position, as long as it remains parallel to the map surface. We are still using mediapipe for Hand Landmark ditector.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectCareer guidanceen_US
dc.subjectPersonalized mentorshipen_US
dc.subjectEducational platformen_US
dc.subjectStructured coursesen_US
dc.subjectFinancial guidanceen_US
dc.titleDesigning Tactile graphics for the blind and visually impaireden_US
dc.typeOtheren_US
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